Title :
Current restoration for ionic single channel based on the wavelet package transform
Author :
Qiao, Xiaoyan ; Wu, Jinzhi ; Dong, Youer
Author_Institution :
Coll. of Phys. & Electron. Eng., Shanxi Univ., Taiyuan, China
Abstract :
Ionic single-channel signal of cell membrane is a stochastic ionic current in the order of picoampere (pA). Because of the weakness of the signal, the background noise always dominates in the patch-clamp measuring. A new approach based on wavelet package algorithm is presented to reconstruct ionic currents. In the study, the scale-power distribution of the signal is obtained by the multi-resolution analysis to ionic currents using the wavelet package decomposing. Then, the signals are reconstructed by wavelet package algorithm. And after smoothing filter, the ideal ionic currents are restored from Markov sequences contaminated by noise. Experiment results have shown that this method can precisely reconstruct the ion currents under the lower signal-to-noise ratio, and has fast parameter convergence and strong anti-noise ability. Therefore, this method can be applied in the real-time processing system of patch-clamp measurement.
Keywords :
Markov processes; bioelectric phenomena; biomembrane transport; cellular biophysics; electric current; medical signal processing; signal reconstruction; smoothing methods; wavelet transforms; Markov sequences; background noise; cell membrane; current restoration; ionic single-channel signal; multiresolution analysis; patch-clamp measuring; picoampere; scale-power distribution; smoothing filter; stochastic ionic current; wavelet package transform; Hidden Markov models; Markov processes; Noise measurement; Time frequency analysis; Wavelet analysis; Wavelet packets; ionic single channel currents; scale-power distribution; signal reconstruction; wavelet package decomposition;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647516